Jim Crotinger (jcrotinger)

jcrotinger

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Company:ServiceNow

Location:Kirkland, WA

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Jim Crotinger's repositories

pyloess

loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess

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pyculiarity

A Python port of Twitter's AnomalyDetection R Package

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ai-to-edge

CDSW AI-to-Edge project

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atap

Code for Applied Text Analysis with Python

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bayesian

Naive Bayesian Classification for Golang.

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BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

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bnt

Bayes Net Toolbox for Matlab

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directory_copy_test

Test repo to see if I can reproduce a git error I'm having at work.

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dlaicourse

Notebooks for learning deep learning

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dlib

A toolkit for making real world machine learning and data analysis applications in C++

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drwn

Darwin: A Framework for Machine Learning Research and Development

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fulton_statsmodels_2017

State Space Estimation of Time Series Models in Python: Statsmodels

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handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

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opengm

A C++ Library for Discrete Graphical Models

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pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

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PreSumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

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pyjnius

Access Java classes from Python

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python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

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python_koans

Python Koans - Learn Python through TDD

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seasonal

Robustly estimate trend and periodicity in a timeseries.

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skyline

It'll detect your anomalies! Part of the Kale stack.

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smile

Statistical Machine Intelligence & Learning Engine

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

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stl-decomp-4j

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

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t-digest

A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means

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tablesaw

Part data frame. Part column store. All Java.

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toolbox

A Java Toolbox for Scalable Probabilistic Machine Learning

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tsfresh

Automatic extraction of relevant features from time series:

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